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Connect In-Situ Combustion Design to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Scale laboratory combustion data to full-scale reservoir operations.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through In-Situ Combustion Design.

  1. 01

    Calculate air injection rate

    This capability determines the exact air injection rate required to maintain a stable combustion front.

  2. 02

    Estimate burn front velocity

    Use this to predict the speed at which the combustion front migrates through the reservoir.

  3. 03

    Evaluate recovery efficiency

    This capability calculates expected oil recovery and identifies potential breakthrough risks based on combustion parameters.

  4. 04

    Predict fuel consumption

    This capability estimates the volume of oil consumed to sustain the combustion process.

Real work

What teams actually run

01

Front Stabilization

Calculate the air injection rate needed to keep a combustion front moving steadily.

02

Oil Loss Prediction

Estimate how much oil will be consumed as fuel during the combustion process.

03

Migration Modeling

Predict the velocity of the burn front to plan well placement and timing.

04

Recovery Assessment

Evaluate total oil recovery and check for breakthrough risks in a reservoir.

One connector, every AI

In-Situ Combustion Design works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put In-Situ Combustion Design to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

893ms average. Fast in production.

In-Situ Combustion Design is checked daily against the live service.

Daily averagePeak 1145ms
Oct 3Today
Fastest day
765ms
Slowest day
1145ms
14-day trend
Improving-18%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of In-Situ Combustion Design, so you can see the experience inside your AI.

It does not authenticate your account with In-Situ Combustion Design. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

In-Situ Combustion Design Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_UIlav5A9MAh0STFQ8nSk92ICuOnZE0ajki7Y3Keg/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — In-Situ Combustion Design capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "in-situ-combustion-design-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_UIlav5A9MAh0STFQ8nSk92ICuOnZE0ajki7Y3Keg/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up In-Situ Combustion Design in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work In-Situ Combustion Design owners hand off.

This MCP is built for petroleum engineers managing thermal EOR projects.

  • 01

    Reservoir Engineer

    Hands off lab data to the AI to generate field-scale injection and velocity models.

  • 02

    EOR Specialist

    Uses the capability to optimize fire flood parameters and predict oil recovery.

  • 03

    Petroleum Engineer

    Calculates fuel consumption and front migration to plan field operations.

FAQ

Questions In-Situ Combustion Design owners ask.

  • 01

    What can this MCP do for reservoir engineering?

    It scales combustion tube data to field-scale operations, allowing you to calculate air injection rates, front velocity, fuel consumption, and recovery efficiency.

  • 02

    Which AI clients can I use with this MCP?

    You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    How does it help with fire flood optimization?

    It provides the math to stabilize the combustion front and predict how much oil will be consumed to sustain the process.

  • 04

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect your client.

  • 05

    Can I predict breakthrough risks?

    Yes, the evaluate_recovery_efficiency capability specifically assesses total oil recovery and breakthrough risks.

  • 06

    How can I determine the required air supply?

    You can use the calculate_air_injection_rate capability to determine the necessary air volume per unit of time based on your reservoir volume and target front velocity.

  • 07

    Can I predict when air might reach the production well?

    Yes, the estimate_burn_front_velocity capability provides an estimated time until breakthrough, helping you manage oxygen utilization and prevent premature air arrival.

  • 08

    How is the total oil recovery calculated?

    The evaluate_recovery_efficiency capability calculates the expected recovery factor and volume by weighing the oil in place against front velocity and breakthrough risks.

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